Pose Estimation with TensorFlow.js

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This project is part of the liveProject series Human Pose Estimation with TensorFlow.js and React
prerequisites
basics of JavaScript • basics of HTML • basics of React • basics of TensorFlow.js • basics of machine learning and web development
skills learned
creating a React web app and analyzing app structure • creating a basic UI and event listeners in React • constructing a neural network model with TensorFlow.js
Andrej Baranovskij
1 week · 4-6 hours per week · INTERMEDIATE

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Look inside
In this liveProject you’ll create a React web application and then integrate TensorFlow.js machine learning functionality into the app. React is highly prized by developers for its ease of building simple and intuitive frontends. Once you’ve set up your development environment and built your React-based UI, you’ll train your TensorFlow.js model with synthetic data.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Andrej Baranovskij
Andrej Baranovskij is a TensorFlow-certified developer who runs his own machine learning startup company Katana ML. Andrej is responsible for building machine learning products for enterprise operations automation. Previously, he spent 15 years working with Oracle technology and building various enterprise systems across the globe. His software development experience allows to bridge a gap between machine learning and software development.

prerequisites

This liveProject is for both web developers and machine learning engineers. Web developers experienced with JavaScript will learn how to integrate TensorFlow into their applications, while ML engineers will be interested in developing their skills for user interfaces.

TOOLS
  • Basics of JavaScript
  • Basics of HTML
  • Basics of Node.js, NPM, and Yarn
  • Basics of React
  • Basics of TensorFlow.js
  • Visual Studio Code
TECHNIQUES
  • Basics of machine learning
  • Basics of web development with HTML/JavaScript

you will learn

In this liveProject, you’ll learn to add the TensorFlow.js library to a newly created React app. You will also learn the basics of Machine Learning, including how to construct a neural network model, fit your model with training data, and make predictions.

  • Setting up a React development environment with Node.js, NPM, and Yarn
  • Creating a React web app and analyzing app structure
  • Creating a basic UI and event listeners in React
  • Constructing a neural network model with TensorFlow.js
  • Training a TensorFlow.js model with synthetic data
  • Predicting new values with a trained TensorFlow.js model

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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